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010 a| 2010051121;

020 a| 9780521198158 (hardback);

020 a| 0521198151 (hardback);

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100 1 a| Hilbe, Joseph M.,d| 1944-=| ^A522715;

245 10 a| Negative binomial regressionh| [electronic resource] /c| Joseph M. Hilbe.;

250 a| 2nd ed.;

260 a| Cambridge, UK ;a| New York :b| Cambridge University Press,;

300 a| xviii, 553 p. :b| ill. ;c| 24 cm.;

504 a| Includes bibliographical references and index.;

505 0 a| The concept of risk -- Overview of count response models -- Methods of estimation -- Assessment of count models -- Poisson regression -- Overdispersion -- Negative binomial regression -- Negative binomial regression: modeling -- Alternative variance parameterizations -- Problems with zero counts -- Censored and truncated count models -- Handling endogeneity and latent class models -- Count panel models -- Bayesian negative binomial models -- Appendix A. Constructing and interpreting interactions terms -- Appendix B. Data sets, commands, functions.;

506 a| Available only to authorized users.;

520 a| "This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, interpretation, and evaluation. Complete Stata and R code are provided throughout the text, with additional code (plus SAS), derivations, and data provided on the book's website. Written for the practicing researcher, the text begins with an examination of risk and rate ratios, and of the estimating algorithms used to model count data. The book then gives an in-depth analysis of Poisson regression and an evaluation of the meaning and nature of overdispersion, followed by a comprehensive analysis of the negative binomial distribution and of its parameterizations into various models for evaluating count data"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Negative binomial distribution.?| UNAUTHORIZED;

650 0 a| Poisson algebras.=| ^A585699;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=667619;

947 a| (OCoLC)ocn694679188;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 4982455;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4982455-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 12/7/2018x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4982455-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 12/7/2018x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4982455-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/7/2018x| EBOOKz| JERESOURCE;

Negative binomial regression / Joseph M. Hilbe.

Author/creator	Hilbe, Joseph M., 1944-
Format	Electronic
Edition	2nd ed.
Publication Info	Cambridge, UK ; New York : Cambridge University Press,
Description	xviii, 553 p. : ill. ; 24 cm.
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Negative binomial distribution. Poisson algebras.

Contents	The concept of risk -- Overview of count response models -- Methods of estimation -- Assessment of count models -- Poisson regression -- Overdispersion -- Negative binomial regression -- Negative binomial regression: modeling -- Alternative variance parameterizations -- Problems with zero counts -- Censored and truncated count models -- Handling endogeneity and latent class models -- Count panel models -- Bayesian negative binomial models -- Appendix A. Constructing and interpreting interactions terms -- Appendix B. Data sets, commands, functions.
Abstract	"This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, interpretation, and evaluation. Complete Stata and R code are provided throughout the text, with additional code (plus SAS), derivations, and data provided on the book's website. Written for the practicing researcher, the text begins with an examination of risk and rate ratios, and of the estimating algorithms used to model count data. The book then gives an in-depth analysis of Poisson regression and an evaluation of the meaning and nature of overdispersion, followed by a comprehensive analysis of the negative binomial distribution and of its parameterizations into various models for evaluating count data"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2010051121
ISBN	9780521198158 (hardback)
ISBN	0521198151 (hardback)

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